2025
GATE: Adaptive Learning with Working Memory by Information Gating in Multi-lamellar Hippocampal Formation.
CoRR, January, 2025
True Amplitude Seismic Imaging With Wave Equation-Based Illumination Compensation in the Dip and Reflection Angle Domain.
IEEE Trans. Geosci. Remote. Sens., 2025
LSTM Network Assisted Construction of the Angle-Dependent Point Spread Function and Its Applications in Seismic Imaging.
IEEE Trans. Geosci. Remote. Sens., 2025
Adaptive representation learning and sample weighting for low-quality 3D face recognition.
Pattern Recognit., 2025
2024
Belt and Braces: When Federated Learning Meets Differential Privacy.
Commun. ACM, December, 2024
Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2024
Adversarial Reweighting with α-Power Maximization for Domain Adaptation.
Int. J. Comput. Vis., October, 2024
Hyperspectral Image Denoising by Pixel-Wise Noise Modeling and TV-Oriented Deep Image Prior.
Remote. Sens., August, 2024
Noise-Generating and Imaging Mechanism Inspired Implicit Regularization Learning Network for Low Dose CT Reconstrution.
IEEE Trans. Medical Imaging, May, 2024
Direction-of-Arrival Estimation for Constant Modulus Signals Using a Structured Matrix Recovery Technique.
IEEE Trans. Wirel. Commun., April, 2024
The Synchrosqueezed Method and Its Theory-Analysis-Based Novel Short-Time Fractional Fourier Transform for Chirp Signals.
Remote. Sens., April, 2024
TelOps: AI-Driven Operations and Maintenance for Telecommunication Networks.
IEEE Commun. Mag., April, 2024
Unsupervised and Semi-Supervised Robust Spherical Space Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024
Robust Saliency-Driven Quality Adaptation for Mobile 360-Degree Video Streaming.
IEEE Trans. Mob. Comput., February, 2024
Probabilistic Matrix Factorization for Data With Attributes Based on Finite Mixture Modeling.
IEEE Trans. Cybern., February, 2024
Entropy regularized fuzzy nonnegative matrix factorization for data clustering.
Int. J. Mach. Learn. Cybern., February, 2024
Improving Signal Detector by Precoding in Uplink Multiuser MIMO System.
IEEE Trans. Veh. Technol., January, 2024
Joint orthogonal symmetric non-negative matrix factorization for community detection in attribute network.
Knowl. Based Syst., January, 2024
COFFEE: Covariance Fitting and Focusing for Wideband Direction-of-Arrival Estimation.
IEEE Trans. Signal Process., 2024
Deep Learning Accelerated Blind Seismic Acoustic-Impedance Inversion.
IEEE Trans. Geosci. Remote. Sens., 2024
Multichannel Frequency Estimation with Constant Amplitude via Convex Structured Low-Rank Approximation.
SIAM J. Matrix Anal. Appl., 2024
ISP-IRLNet: Joint optimization of interpretable sampler and implicit regularization learning network for accerlerated MRI.
Pattern Recognit., 2024
Learning-based multi-continuum model for multiscale flow problems.
J. Comput. Phys., 2024
Review of Mathematical Optimization in Federated Learning.
CoRR, 2024
Belt and Brace: When Federated Learning Meets Differential Privacy.
CoRR, 2024
Adversarial Reweighting with ɑ-Power Maximization for Domain Adaptation.
CoRR, 2024
TRG-Net: An Interpretable and Controllable Rain Generator.
CoRR, 2024
Adversarial data splitting for domain generalization.
Sci. China Inf. Sci., 2024
Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
A Gradient-based Method for Differential Evolution Parameter Control by Smoothing.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Wideband Direction-of-Arrival Estimation via Covariance Fitting and Focusing.
Proceedings of the 32nd European Signal Processing Conference, 2024
2023
Understanding Deep MIMO Detection.
IEEE Trans. Wirel. Commun., December, 2023
Robust Frequency Selective Precoding for Downlink Massive MIMO in 5G Broadband System.
IEEE Trans. Veh. Technol., December, 2023
Learning Unified Hyper-Network for Multi-Modal MR Image Synthesis and Tumor Segmentation With Missing Modalities.
IEEE Trans. Medical Imaging, December, 2023
Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2023
Memory efficient data-free distillation for continual learning.
Pattern Recognit., December, 2023
Robust channel estimation based on the maximum entropy principle.
Sci. China Inf. Sci., December, 2023
Learning-based local weighted least squares for algebraic multigrid method.
J. Comput. Phys., November, 2023
Variational Reinforcement Learning for Hyper-Parameter Tuning of Adaptive Evolutionary Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023
Variational Data-Free Knowledge Distillation for Continual Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023
Continuous Encoding for Overlapping Community Detection in Attributed Network.
IEEE Trans. Cybern., September, 2023
An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee.
SIAM J. Imaging Sci., September, 2023
MIMO Detector Selection With Federated Learning.
IEEE Trans. Wirel. Commun., July, 2023
Learning Adaptive Differential Evolution by Natural Evolution Strategies.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023
Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning [Research Frontier] [Research Frontier].
IEEE Comput. Intell. Mag., February, 2023
Multichannel Frequency Estimation in Challenging Scenarios via Structured Matrix Embedding and Recovery (StruMER).
IEEE Trans. Signal Process., 2023
Generating Azimuth-Reflection Angle Gathers From Reverse Time Migration Using the High-Dimensional Local Phase Space Approximation of Seismic Wavefields.
IEEE Trans. Geosci. Remote. Sens., 2023
MD-GraphFormer: A Model-Driven Graph Transformer for Fast Multi-Contrast MR Imaging.
IEEE Trans. Computational Imaging, 2023
Meta-learning-based adversarial training for deep 3D face recognition on point clouds.
Pattern Recognit., 2023
Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks.
J. Mach. Learn. Res., 2023
Deep expectation-maximization network for unsupervised image segmentation and clustering.
Image Vis. Comput., 2023
Learning unified mutation operator for differential evolution by natural evolution strategies.
Inf. Sci., 2023
Optimal Transport-Guided Conditional Score-Based Diffusion Models.
CoRR, 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning.
CoRR, 2023
Keypoint-Guided Optimal Transport.
CoRR, 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness.
CoRR, 2023
Source Localization for Constant Modulus Signals Using a Structured Matrix Recovery Technique (SMART).
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023
Optimal Transport-Guided Conditional Score-Based Diffusion Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Spectral Super-Resolution on the Unit Circle Via Gradient Descent.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Robust Online CSI Estimation in a Complex Environment.
IEEE Trans. Wirel. Commun., 2022
Deep Expectation-Maximization for Joint MIMO Channel Estimation and Signal Detection.
IEEE Trans. Signal Process., 2022
Maximum Likelihood Line Spectral Estimation in the Signal Domain: A Rank-Constrained Structured Matrix Recovery Approach.
IEEE Trans. Signal Process., 2022
Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2022
Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022
Simultaneous Inversion for Reflectivity and Q Using Nonstationary Seismic Data With Deep-Learning-Based Decoupling.
IEEE Trans. Geosci. Remote. Sens., 2022
Ground-Roll Separation and Attenuation Using Curvelet-Based Multichannel Variational Mode Decomposition.
IEEE Trans. Geosci. Remote. Sens., 2022
Quantum-Enhanced Deep Learning-Based Lithology Interpretation From Well Logs.
IEEE Trans. Geosci. Remote. Sens., 2022
Self-Supervised Deep Learning for Nonlinear Seismic Full Waveform Inversion.
IEEE Trans. Geosci. Remote. Sens., 2022
A Deep-Learning-Based Generalized Convolutional Model For Seismic Data and Its Application in Seismic Deconvolution.
IEEE Trans. Geosci. Remote. Sens., 2022
PanCSC-Net: A Model-Driven Deep Unfolding Method for Pansharpening.
IEEE Trans. Geosci. Remote. Sens., 2022
Graph Neural Network Encoding for Community Detection in Attribute Networks.
IEEE Trans. Cybern., 2022
MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Variational HyperAdam: A Meta-Learning Approach to Network Training.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Deep alternating non-negative matrix factorisation.
Knowl. Based Syst., 2022
Dynamic Neural Network for MIMO Detection.
IEEE J. Sel. Areas Commun., 2022
Unlabeled data driven cost-sensitive inverse projection sparse representation-based classification with 1/2 regularization.
Sci. China Inf. Sci., 2022
On the uniqueness of virtual substrate for metasurface in a dielectric half-space.
Sci. China Inf. Sci., 2022
Unified Mathematical Framework for Intelligent Transceiver Design.
Proceedings of the 96th Vehicular Technology Conference, 2022
LDP-IDS: Local Differential Privacy for Infinite Data Streams.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
SalientVR: saliency-driven mobile 360-degree video streaming with gaze information.
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022
Learning to balance exploration and exploitation in pareto local search for multi-objective combinatorial optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution.
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Multimodal GANs: Toward Crossmodal Hyperspectral-Multispectral Image Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2021
Large-Dimensional Seismic Inversion Using Global Optimization With Autoencoder-Based Model Dimensionality Reduction.
IEEE Trans. Geosci. Remote. Sens., 2021
Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient.
IEEE Trans. Evol. Comput., 2021
SPLBoost: An Improved Robust Boosting Algorithm Based on Self-Paced Learning.
IEEE Trans. Cybern., 2021
Hyperspectral Image Restoration Combining Intrinsic Image Characterization With Robust Noise Modeling.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Variational Bayes' Method for Functions with Applications to Some Inverse Problems.
SIAM J. Sci. Comput., 2021
Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study.
Neural Networks, 2021
OMMDE-Net: A Deep Learning-Based Global Optimization Method for Seismic Inversion.
IEEE Geosci. Remote. Sens. Lett., 2021
Robust online rain removal for surveillance videos with dynamic rains.
Knowl. Based Syst., 2021
A distribution independence based method for 3D face shape decomposition.
Comput. Vis. Image Underst., 2021
Learning an Explicit Hyperparameter Prediction Policy Conditioned on Tasks.
CoRR, 2021
Adversarial Reweighting for Partial Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Training Networks in Null Space of Feature Covariance for Continual Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Learning to Mutate for Differential Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Learning to Search for MIMO Detection.
IEEE Trans. Wirel. Commun., 2020
Full-Spectrum-Knowledge-Aware Tensor Model for Energy-Resolved CT Iterative Reconstruction.
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IEEE Trans. Medical Imaging, 2020
Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN.
IEEE Trans. Medical Imaging, 2020
Polarimetric SAR Image Semantic Segmentation With 3D Discrete Wavelet Transform and Markov Random Field.
IEEE Trans. Image Process., 2020
Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2020
Hyperspectral Image Classification With Convolutional Neural Network and Active Learning.
IEEE Trans. Geosci. Remote. Sens., 2020
Learning Through Deterministic Assignment of Hidden Parameters.
IEEE Trans. Cybern., 2020
Improved Low-Rank Filtering of MR Spectroscopic Imaging Data With Pre-Learnt Subspace and Spatial Constraints.
IEEE Trans. Biomed. Eng., 2020
Remote Sensing Image Denoising via Low-Rank Tensor Approximation and Robust Noise Modeling.
Remote. Sens., 2020
Abnormality detection in retinal image by individualized background learning.
Pattern Recognit., 2020
ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing.
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Amortized Variational Deep Q Network.
CoRR, 2020
Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction.
CoRR, 2020
Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize.
CoRR, 2020
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels.
CoRR, 2020
Learning to be Global Optimizer.
CoRR, 2020
Learning Adaptive Loss for Robust Learning with Noisy Labels.
CoRR, 2020
Color and direction-invariant nonlocal self-similarity prior and its application to color image denoising.
Sci. China Inf. Sci., 2020
On Presuppositions of Machine Learning: A Meta Theory.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Model-Driven Deep Attention Network for Ultra-fast Compressive Sensing MRI Guided by Cross-contrast MR Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
MEP-Based Channel Estimation under Complex Communication Environment.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution.
Proceedings of the Computer Vision - ECCV 2020, 2020
Spherical Space Domain Adaptation With Robust Pseudo-Label Loss.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Adaptive Structural Hyper-Parameter Configuration by Q-Learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Model-Driven Deep Learning for Physical Layer Communications.
IEEE Wirel. Commun., 2019
An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial-Temporal Total Variation Regularization.
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IEEE Trans. Medical Imaging, 2019
Optimizing a Parameterized Plug-and-Play ADMM for Iterative Low-Dose CT Reconstruction.
IEEE Trans. Medical Imaging, 2019
Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing.
IEEE Trans. Image Process., 2019
An Optimized Deep Network Representation of Multimutation Differential Evolution and its Application in Seismic Inversion.
IEEE Trans. Geosci. Remote. Sens., 2019
An Active Deep Learning Approach for Minimally Supervised PolSAR Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2019
A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2019
Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field.
Remote. Sens., 2019
Variational Bayes' method for functions with applications to some inverse problems.
CoRR, 2019
Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels.
CoRR, 2019
Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy.
Bioinform., 2019
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Neural Diffusion Distance for Image Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
An Active Deep Learning Approach for Minimally-Supervised Polsar Image Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Unsupervised PolSAR Image Factorization with Deep Convolutional Networks.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Robust CSI Estimation Under Complex Communication Environment.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Semi-Supervised Transfer Learning for Image Rain Removal.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
HyperAdam: A Learnable Task-Adaptive Adam for Network Training.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
A Preference-Based Multiobjective Evolutionary Approach for Sparse Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2018
Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network.
IEEE Trans. Image Process., 2018
Greedy Criterion in Orthogonal Greedy Learning.
IEEE Trans. Cybern., 2018
Denoising Hyperspectral Image With Non-i.i.d. Noise Structure.
IEEE Trans. Cybern., 2018
Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery.
IEEE Trans. Pattern Anal. Mach. Intell., 2018
Neural multi-atlas label fusion: Application to cardiac MR images.
Medical Image Anal., 2018
Robust subspace clustering via penalized mixture of Gaussians.
Neurocomputing, 2018
Diverse lesion detection from retinal images by subspace learning over normal samples.
Neurocomputing, 2018
Small Sample Learning in Big Data Era.
CoRR, 2018
Semi-supervised CNN for Single Image Rain Removal.
CoRR, 2018
Convergence of multi-block Bregman ADMM for nonconvex composite problems.
Sci. China Inf. Sci., 2018
Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Margin Based PU Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Improving Separability of Structures with Similar Attributes in 2D Transfer Function Design.
IEEE Trans. Vis. Comput. Graph., 2017
Shrinkage Degree in L<sub>2</sub>-Rescale Boosting for Regression.
IEEE Trans. Neural Networks Learn. Syst., 2017
Graph PCA Hashing for Similarity Search.
IEEE Trans. Multim., 2017
Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network.
IEEE Trans. Multim., 2017
Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity Regularization.
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IEEE Trans. Medical Imaging, 2017
Robust Low-Dose CT Sinogram Preprocessing via Exploiting Noise-Generating Mechanism.
IEEE Trans. Medical Imaging, 2017
Unsupervised PolSAR Image Classification Using Discriminative Clustering.
IEEE Trans. Geosci. Remote. Sens., 2017
Generalization Analysis of Fredholm Kernel Regularized Classifiers.
Neural Comput., 2017
Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification.
Neurocomputing, 2017
ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI.
CoRR, 2017
SPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning.
CoRR, 2017
Hyperspectral Image Segmentation with Markov Random Fields and a Convolutional Neural Network.
CoRR, 2017
IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studies.
Bioinform., 2017
Polsar image classification based on three-dimensional wavelet texture features and Markov random field.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Should We Encode Rain Streaks in Video as Deterministic or Stochastic?
Proceedings of the IEEE International Conference on Computer Vision, 2017
2016
Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm.
IEEE Trans. Signal Process., 2016
Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions.
IEEE Trans. Image Process., 2016
Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements.
IEEE Trans. Image Process., 2016
Learning With ℓ<sub>1</sub>-Regularizer Based on Markov Resampling.
IEEE Trans. Cybern., 2016
An efficient optimization approach for a cardinality-constrained index tracking problem.
Optim. Methods Softw., 2016
Re-scale AdaBoost for attack detection in collaborative filtering recommender systems.
Knowl. Based Syst., 2016
Learning and approximation capabilities of orthogonal super greedy algorithm.
Knowl. Based Syst., 2016
Block-sparse compressed sensing with partially known signal support via non-convex minimisation.
IET Signal Process., 2016
Greedy Criterion in Orthogonal Greedy Learning.
CoRR, 2016
Low-rank Matrix Factorization under General Mixture Noise Distributions.
CoRR, 2016
Learning capability of the truncated greedy algorithm.
Sci. China Inf. Sci., 2016
Joint sparse canonical correlation analysis for detecting differential imaging genetics modules.
Bioinform., 2016
Deep ADMM-Net for Compressive Sensing MRI.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Deep Fusion Net for Multi-atlas Segmentation: Application to Cardiac MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
A multi-phase multiobjective approach based on decomposition for sparse reconstruction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Linear Convergence of Adaptively Iterative Thresholding Algorithms for Compressed Sensing.
IEEE Trans. Signal Process., 2015
L<sub>1</sub>-Norm Low-Rank Matrix Factorization by Variational Bayesian Method.
IEEE Trans. Neural Networks Learn. Syst., 2015
The Generalization Ability of Online SVM Classification Based on Markov Sampling.
IEEE Trans. Neural Networks Learn. Syst., 2015
Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part I).
IEEE Trans. Neural Networks Learn. Syst., 2015
Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II).
IEEE Trans. Neural Networks Learn. Syst., 2015
Color Image Denoising via Discriminatively Learned Iterative Shrinkage.
IEEE Trans. Image Process., 2015
The Generalization Ability of SVM Classification Based on Markov Sampling.
IEEE Trans. Cybern., 2015
Error Estimate for Spherical Neural Networks Interpolation.
Neural Process. Lett., 2015
Jackson-type inequalities for spherical neural networks with doubling weights.
Neural Networks, 2015
Video Primal Sketch: A Unified Middle-Level Representation for Video.
J. Math. Imaging Vis., 2015
On parallel multisplitting block iterative methods for linear systems arising in the numerical solution of Euler equations.
J. Comput. Appl. Math., 2015
A block coordinate descent approach for sparse principal component analysis.
Neurocomputing, 2015
Folded-concave penalization approaches to tensor completion.
Neurocomputing, 2015
Shrinkage degree in L<sub>2</sub>-re-scale boosting for regression.
CoRR, 2015
Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition.
CoRR, 2015
A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements.
CoRR, 2015
New Trends of Learning in Computational Intelligence (Part II) [Guest Editorial].
IEEE Comput. Intell. Mag., 2015
New Trends of Learning in Computational Intelligence [Guest Editorial].
IEEE Comput. Intell. Mag., 2015
Robust low-rank tensor factorization by cyclic weighted median.
Sci. China Inf. Sci., 2015
A Novel Sparsity Measure for Tensor Recovery.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Low-Rank Matrix Factorization under General Mixture Noise Distributions.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Learning a convolutional neural network for non-uniform motion blur removal.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
Self-Paced Learning for Matrix Factorization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Detection and Reconstruction of an Implicit Boundary Surface by Adaptively Expanding A Small Surface Patch in a 3D Image.
IEEE Trans. Vis. Comput. Graph., 2014
L<sub>1/2</sub> Regularization: Convergence of Iterative Half Thresholding Algorithm.
IEEE Trans. Signal Process., 2014
Enhancing Low-Rank Subspace Clustering by Manifold Regularization.
IEEE Trans. Image Process., 2014
Spatial and Spectral Image Fusion Using Sparse Matrix Factorization.
IEEE Trans. Geosci. Remote. Sens., 2014
The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling.
IEEE Trans. Cybern., 2014
Quantitative Studies on Asymptotic Growth Behaviors of Trajectories of Nonlinear Discrete Dynamical Systems.
IEEE Trans. Autom. Control., 2014
Fast Compressed Sensing SAR Imaging Based on Approximated Observation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
Sparse Bayesian Hierarchical Prior Modeling Based Cooperative Spectrum Sensing in Wideband Cognitive Radio Networks.
IEEE Signal Process. Lett., 2014
A novel L1/2 regularization shooting method for Cox's proportional hazards model.
Soft Comput., 2014
Sparse solution of underdetermined linear equations via adaptively iterative thresholding.
Signal Process., 2014
Restricted p-isometry properties of nonconvex block-sparse compressed sensing.
Signal Process., 2014
Entanglement-assisted quantum codes achieving the quantum singleton bound but violating the quantum hamming bound.
Quantum Inf. Comput., 2014
Generalization performance of Gaussian kernels SVMC based on Markov sampling.
Neural Networks, 2014
Learning Rates of <i>l<sup>q</sup></i> Coefficient Regularization Learning with Gaussian Kernel.
Neural Comput., 2014
Almost optimal estimates for approximation and learning by radial basis function networks.
Mach. Learn., 2014
An active contour model and its algorithms with local and global Gaussian distribution fitting energies.
Inf. Sci., 2014
Two soft-thresholding based iterative algorithms for image deblurring.
Inf. Sci., 2014
Categorization Axioms for Classification and Clustering.
CoRR, 2014
Greedy metrics in orthogonal greedy learning.
CoRR, 2014
On the Optimal Solution of Weighted Nuclear Norm Minimization.
CoRR, 2014
Learning and approximation capability of orthogonal super greedy algorithm.
CoRR, 2014
Sparse K-Means with ℓ<sub>∞</sub>/ℓ<sub>0</sub> Penalty for High-Dimensional Data Clustering.
CoRR, 2014
Robust sparse principal component analysis.
Sci. China Inf. Sci., 2014
The number of spanning trees in a new lexicographic product of graphs.
Sci. China Inf. Sci., 2014
Hierarchical clustering driven by cognitive features.
Sci. China Inf. Sci., 2014
The L<sub>1/2</sub> regularization method for variable selection in the Cox model.
Appl. Soft Comput., 2014
Robust Principal Component Analysis with Complex Noise.
Proceedings of the 31th International Conference on Machine Learning, 2014
Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
2013
Variational-Inference-Based Data Detection for OFDM Systems With Imperfect Channel Estimation.
IEEE Trans. Veh. Technol., 2013
Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling.
IEEE Trans. Neural Networks Learn. Syst., 2013
Learning Capability of Relaxed Greedy Algorithms.
IEEE Trans. Neural Networks Learn. Syst., 2013
Detecting Intrinsic Loops Underlying Data Manifold.
IEEE Trans. Knowl. Data Eng., 2013
Dynamic Extreme Learning Machine and Its Approximation Capability.
IEEE Trans. Cybern., 2013
Accelerated <i>L</i><sub>1/2</sub> regularization based SAR imaging via BCR and reduced Newton skills.
Signal Process., 2013
Hermitian dual containing BCH codes and construction of new quantum codes.
Quantum Inf. Comput., 2013
A heuristic hierarchical clustering based on multiple similarity measurements.
Pattern Recognit. Lett., 2013
Passage method for nonlinear dimensionality reduction of data on multi-cluster manifolds.
Pattern Recognit., 2013
Fast image deconvolution using closed-form thresholding formulas of regularization.
J. Vis. Commun. Image Represent., 2013
The strong convergence of visual classification method and its applications.
Inf. Sci., 2013
Poisson image fusion based on Markov random field fusion model.
Inf. Fusion, 2013
The UPPAM continuous-time RNN model and its critical dynamics study.
Neurocomputing, 2013
Learning dictionary from signals under global sparsity constraint.
Neurocomputing, 2013
Proportion-based robust optimization and team orienteering problem with interval data.
Eur. J. Oper. Res., 2013
On recovery of block-sparse signals via mixed l<sub>2</sub>/l<sub>q</sub> (0 < q ≤ 1) norm minimization.
EURASIP J. Adv. Signal Process., 2013
Following the entire solution path of sparse principal component analysis by coordinate-pairwise algorithm.
Data Knowl. Eng., 2013
Learning rates of l<sup>q</sup> coefficient regularization learning with Gaussian kernel.
CoRR, 2013
Compressed Sensing SAR Imaging with Multilook Processing.
CoRR, 2013
The learning performance of support vector machine classification based on Markov sampling.
Sci. China Inf. Sci., 2013
Image restoration with shifting reflective boundary conditions.
Sci. China Inf. Sci., 2013
Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification.
BMC Bioinform., 2013
Approximation by neural networks with scattered data.
Appl. Math. Comput., 2013
Sparse K-Means with the l_q(0leq q< 1) Constraint for High-Dimensional Data Clustering.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
2012
Global Convergence of Online BP Training With Dynamic Learning Rate.
IEEE Trans. Neural Networks Learn. Syst., 2012
Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes.
IEEE Trans. Neural Networks Learn. Syst., 2012
L<sub>1/2</sub> Regularization: A Thresholding Representation Theory and a Fast Solver.
IEEE Trans. Neural Networks Learn. Syst., 2012
Improve robustness of sparse PCA by L<sub>1</sub>-norm maximization.
Pattern Recognit., 2012
A general radial quasi-interpolation operator on the sphere.
J. Approx. Theory, 2012
Kronecker product approximations for image restoration with whole-sample symmetric boundary conditions.
Inf. Sci., 2012
Critical dynamics study on recurrent neural networks: Globally exponential stability.
Neurocomputing, 2012
Dictionary learning under global sparsity constraint
CoRR, 2012
A recursive divide-and-conquer approach for sparse principal component analysis.
CoRR, 2012
The essential ability of sparse reconstruction of different compressive sensing strategies.
Sci. China Inf. Sci., 2012
Sparse SAR imaging based on L 1/2 regularization.
Sci. China Inf. Sci., 2012
Estimation of convergence rate for multi-regression learning algorithm.
Sci. China Inf. Sci., 2012
Efficient DPCA SAR imaging with fast iterative spectrum reconstruction method.
Sci. China Inf. Sci., 2012
Generalization bounds of ERM algorithm with V-geometrically Ergodic Markov chains.
Adv. Comput. Math., 2012
Regularization Path for Linear Model via Net Method.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012
Iterative L1/2 Regularization Algorithm for Variable Selection in the Cox Proportional Hazards Model.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012
On the Average Distance and Wiener Index of Cartesian Product Networks.
Proceedings of the Quantitative Logic and Soft Computing, 2012
MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012
SAR range ambiguity suppression via sparse regularization.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Gradient Profile Prior and Its Applications in Image Super-Resolution and Enhancement.
IEEE Trans. Image Process., 2011
Essential rate for approximation by spherical neural networks.
Neural Networks, 2011
Neural networks and the best trigomometric approximation.
J. Syst. Sci. Complex., 2011
Incremental Alignment Manifold Learning.
J. Comput. Sci. Technol., 2011
Generalization Bounds of Regularization Algorithms Derived Simultaneously through Hypothesis Space Complexity, Algorithmic Stability and Data Quality.
Int. J. Wavelets Multiresolution Inf. Process., 2011
Estimation of learning rate of least square algorithm via Jackson operator.
Neurocomputing, 2011
A new quality assessment criterion for nonlinear dimensionality reduction.
Neurocomputing, 2011
Optimal rate of the regularized regression learning algorithm.
Int. J. Comput. Math., 2011
Some results on the lexicographic product of vertex-transitive graphs.
Appl. Math. Lett., 2011
SAR imaging from compressed measurements based on L1/2 regularization.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Video Primal Sketch: A generic middle-level representation of video.
Proceedings of the IEEE International Conference on Computer Vision, 2011
2010
Image Inpainting by Patch Propagation Using Patch Sparsity.
IEEE Trans. Image Process., 2010
Scale selection for anisotropic diffusion filter by Markov random field model.
Pattern Recognit., 2010
New study on neural networks: the essential order of approximation.
Neural Networks, 2010
Constructive approximate interpolation by neural networks in the metric space.
Math. Comput. Model., 2010
On the P-critical dynamics analysis of projection recurrent neural networks.
Neurocomputing, 2010
Approximation capability of interpolation neural networks.
Neurocomputing, 2010
<i>L</i><sub>1/2</sub> regularization.
Sci. China Inf. Sci., 2010
2009
Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine.
IEEE Trans. Syst. Man Cybern. Part B, 2009
Some Characterizations of Global Exponential Stability of a Generic Class of Continuous-Time Recurrent Neural Networks.
IEEE Trans. Syst. Man Cybern. Part B, 2009
When Does Online BP Training Converge?
IEEE Trans. Neural Networks, 2009
The generalization performance of ERM algorithm with strongly mixing observations.
Mach. Learn., 2009
Learning from uniformly ergodic Markov chains.
J. Complex., 2009
A critical global convergence analysis of recurrent neural networks with general projection mappings.
Neurocomputing, 2009
On [[n,n-4,3]]<sub>q</sub> Quantum MDS Codes for odd prime power q
CoRR, 2009
Lower estimation of approximation rate for neural networks.
Sci. China Ser. F Inf. Sci., 2009
2008
Nonlinear Dimensionality Reduction of Data Lying on the Multicluster Manifold.
IEEE Trans. Syst. Man Cybern. Part B, 2008
On The Classification of Binary Optimal Self-Orthogonal Codes.
IEEE Trans. Inf. Theory, 2008
Standard Forms of Stabilizer and Normalizer Matrices for Additive Quantum Codes.
IEEE Trans. Inf. Theory, 2008
Improving geodesic distance estimation based on locally linear assumption.
Pattern Recognit. Lett., 2008
Latent semantic analysis for text categorization using neural network.
Knowl. Based Syst., 2008
A comparative study for content-based dynamic spam classification using four machine learning algorithms.
Knowl. Based Syst., 2008
The essential order of approximation for Suzuki's neural networks.
Neurocomputing, 2008
The estimate for approximation error of neural networks: A constructive approach.
Neurocomputing, 2008
Inequalities and solution of an operator equation.
Appl. Math. Lett., 2008
An Improvement to Ant Colony Optimization Heuristic.
Proceedings of the Advances in Neural Networks, 2008
Data Mining Technologies Inspired from Visual Principle.
Proceedings of the Intelligent Information Processing IV, 2008
Image super-resolution using gradient profile prior.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008
2007
Quantitative Characterizations of Exponential Convergence Property of Nonlinear Discrete Dynamical Systems.
IEEE Trans. Autom. Control., 2007
On Characterizations of Exponential Stability of Nonlinear Discrete Dynamical Systems on Bounded Regions.
IEEE Trans. Autom. Control., 2007
Transformation of rough set models.
Knowl. Based Syst., 2007
A novel splicing/decomposable binary encoding and its operators for genetic and evolutionary algorithms.
Appl. Math. Comput., 2007
The essential order of simultaneous approximation for neural networks.
Appl. Math. Comput., 2007
Constructive Trigonometric Function Approximation of Neural Networks.
Proceedings of the Third International Conference on Semantics, 2007
New Critical Analysis on Global Convergence of Recurrent Neural Networks with Projection Mappings.
Proceedings of the Advances in Neural Networks, 2007
Neural Network Training Using Genetic Algorithm with a Novel Binary Encoding.
Proceedings of the Advances in Neural Networks, 2007
Flash Cut: Foreground Extraction with Flash and No-flash Image Pairs.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007
Immunity diversity based multi-agent intrusion detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Sufficient and necessary conditions for global exponential stability of discrete-time recurrent neural networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2006
The essential order of approximation for nearly exponential type neural networks.
Sci. China Ser. F Inf. Sci., 2006
Approximation Bound of Mixture Networks in <i>L</i><sub><i>omega</i></sub><sup><i>p</i></sup> Spaces.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
An Edge Preserving Regularization Model for Image Restoration Based on Hopfield Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Integral Transform and Its Application to Neural Network Approximation.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
A New Pre-processing Method for Regression.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
The Essential Approximation Order for Neural Networks with Trigonometric Hidden Layer Units.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
2005
A critical analysis on global convergence of Hopfield-type neural networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005
Scalable model-based cluster analysis using clustering features.
Pattern Recognit., 2005
Simultaneous L<sup>p</sup>-approximation order for neural networks.
Neural Networks, 2005
Variable Programming: A Generalized Minimax Problem. Part II: Algorithms.
Comput. Optim. Appl., 2005
Variable Programming: A Generalized Minimax Problem. Part I: Models and Theory.
Comput. Optim. Appl., 2005
A New Approach for Classification: Visual Simulation Point of View.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Generalization and Property Analysis of GENET.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Pointwise Approximation for Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
A Generalized Global Convergence Theory of Projection-Type Neural Networks for Optimization.
Proceedings of the Computational Intelligence and Security, International Conference, 2005
2004
A comparative study of two modeling approaches in neural networks.
Neural Networks, 2004
A heuristic training for support vector regression.
Neurocomputing, 2004
An expanding self-organizing neural network for the traveling salesman problem.
Neurocomputing, 2004
Rough Set Models on Two universes.
Int. J. Gen. Syst., 2004
Strong fuzzy compact sets and ultra-fuzzy compact sets in L-topological spaces.
Fuzzy Sets Syst., 2004
The essential order of approximation for neural networks.
Sci. China Ser. F Inf. Sci., 2004
Approximation Bounds by Neural Networks in L<sup>p</sup><sub>omega</sub>.
Proceedings of the Advances in Neural Networks, 2004
2003
A reference model approach to stability analysis of neural networks.
IEEE Trans. Syst. Man Cybern. Part B, 2003
An efficient self-organizing map designed by genetic algorithms for the traveling salesman problem.
IEEE Trans. Syst. Man Cybern. Part B, 2003
Determination of the spread parameter in the Gaussian kernel for classification and regression.
Neurocomputing, 2003
Efficiency speed-up strategies for evolutionary computation: fundamentals and fast-GAs.
Appl. Math. Comput., 2003
2002
A new approach to stability of neural networks with time-varying delays.
Neural Networks, 2002
Inclusion degree: a perspective on measures for rough set data analysis.
Inf. Sci., 2002
The Algorithm on Knowledge Reduction in Incomplete Information Systems.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2002
An automata network for performing combinatorial optimization.
Neurocomputing, 2002
2001
A new data processing method based on a biological model of the compound eye: direction quantization representation.
IEEE Trans. Syst. Man Cybern. Part A, 2001
Nonlinear measures: a new approach to exponential stability analysis for Hopfield-type neural networks.
IEEE Trans. Neural Networks, 2001
A new model of simulated evolutionary computation-convergence analysis and specifications.
IEEE Trans. Evol. Comput., 2001
2000
Clustering by Scale-Space Filtering.
IEEE Trans. Pattern Anal. Mach. Intell., 2000
Characterizations of minimal T3 L-fuzzy topological spaces.
Inf. Sci., 2000
1998
Optimal neural network algorithm for on-line string matching.
IEEE Trans. Syst. Man Cybern. Part B, 1998
A genetic algorithm for the multiple destination routing problems.
IEEE Trans. Evol. Comput., 1998
The optimal encodings for biased association in linear associative memories.
Neural Networks, 1998
An approximate algorithm for computing multidimensional convex hulls.
Appl. Math. Comput., 1998
1997
Neural networks for convex hull computation.
IEEE Trans. Neural Networks, 1997
Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis.
IEEE Trans. Neural Networks, 1997
1996
Some efficient strategies for improving the eigenstructure method in synthesis of feedback neural networks.
IEEE Trans. Neural Networks, 1996
A Decomposition Principle for Complexity Reduction of Artificial Neural Networks.
Neural Networks, 1996
Asymmetric Hopfield-type networks: Theory and applications.
Neural Networks, 1996
The Heuristics for the Constrained Multicast Routing.
Proceedings of the Concurrency and Parallelism, 1996
1995
A competitive associative memory model and its dynamics.
IEEE Trans. Neural Networks, 1995
Multiple-Valued Feedback and Recurrent Correlation Neural Networks.
Neural Comput. Appl., 1995
The optimal ball algorithm for nonlinear equations of quasi-strongly monotone operators.
Int. J. Comput. Math., 1995
1994
Asymmetric Bidirectional Associative Memories.
IEEE Trans. Syst. Man Cybern. Syst., 1994
1992
A comparison of point and ball iterations in the contractive mapping case.
Computing, 1992
1985
Generalized Theory and Some Specializations of the Region Contraction Algorithm I - Ball Operation.
Proceedings of the Interval Mathemantics 1985: Proceedings of the International Symposium, 1985